The hybrid model is initialized with 1560hrs of multilingual data, the same data used in [1]}.
This data is is also used for training the ivector extractor.
The model is fine-tuned to the target language using the lattice-free MMI objective function [2]} for one epoch at a constant learning rate of \(3 \times 10^{-4}\) .
It is then trained with sMBR [3]} for one epoch at a constant learning rate of \(5 \times 10^{-6}\) .
The structure of the model is identical for both the supervised and semisupervised versions.
